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We derive upper bounds to free-space concentration of electromagnetic waves, mapping out the limits to maximum intensity for any spot size and optical beam-shaping device. For sub-diffraction-limited optical beams, our bounds suggest the…

Optics · Physics 2020-07-08 Hyungki Shim , Haejun Chung , Owen D. Miller

Fourier Ptychographic Microscopy (FPM) is a recent technique to overcome the diffraction limit of a low numerical aperture (NA) objective lens by algorithmic post-processing of several lower resolved images. It can increase the…

Incoherent Diffraction Imaging - IDI - is a diffraction-based imaging technique that has been recently proposed to exploit the partial coherence of incoherently scattered light to retrieve structural information from the scattering centers.…

Materials science inherently spans disciplines: experimentalists use advanced microscopy to uncover micro- and nanoscale structure, while theorists and computational scientists develop models that link processing, structure, and properties.…

Machine Learning · Computer Science 2026-03-25 Simon Daubner , Alexander E. Cohen , Benjamin Dörich , Samuel J. Cooper

Roughly half of a cells proteins are located at or near the plasma membrane. In this restricted space the cell senses its environment, signals to its neighbors and ex-changes cargo through exo- and endocytotic mechanisms. Ligands bind to…

Biological Physics · Physics 2019-10-02 Martin Oheim , Adi Salomon , Adam Weissman , Maia Brunstein , Ute Becherer

In contrast to human vision, common recognition algorithms often fail on partially occluded images. We propose characterizing, empirically, the algorithmic limits by finding a minimal recognizable patch (MRP) that is by itself sufficient to…

Computer Vision and Pattern Recognition · Computer Science 2020-10-13 Mark Fonaryov , Michael Lindenbaum

We tackle the task of scalable unsupervised object-centric representation learning on 3D scenes. Existing approaches to object-centric representation learning show limitations in generalizing to larger scenes as their learning processes…

Computer Vision and Pattern Recognition · Computer Science 2023-09-26 Tianyu Wang , Kee Siong Ng , Miaomiao Liu

Optical tweezers, formed by tightly focused propagating laser beams, offer the unique capability to trap and control microscopic particles over a broad size range. However, the diffraction inherent to propagating optical fields, limits the…

Optics · Physics 2025-07-29 Evgenii E. Narimanov

In many laboratories, conventional bright-field transmission microscopes are available to study the structure and organization principles of fibrous tissue samples, but they usually provide only 2D information. To access the third…

We present a few recent developments in the field of electron backscatter diffraction (EBSD). We highlight how open source algorithms and open data formats can be used to rapidly to develop microstructural insight of materials. We include…

Computational Physics · Physics 2019-08-15 Alex Foden , Alessandro Previero , Thomas Benjamin Britton

Quantitative tracking of features from video images is a basic technique employed in many areas of science. Here, we present a method for the tracking of features that partially overlap, in order to be able to track so-called colloidal…

Soft Condensed Matter · Physics 2016-11-24 Casper van der Wel , Daniela J. Kraft

Evanescent light excitation is widely used in super-resolution fluorescence microscopy to confine light and reduce background noise. Herein we propose a method of exploiting evanescent light in the context of emission. When a fluorophore is…

Biological Physics · Physics 2015-09-30 N. Bourg , C. Mayet , G. Dupuis , T. Barroca , P. Bon , S. Lécart , E. Fort , S. Lévêque-Fort

We propose a new microscopy simulation system that can depict atomistic models in a micrograph visual style, similar to results of physical electron microscopy imaging. This system is scalable, able to represent simulation of electron…

Quantitative Methods · Quantitative Biology 2026-03-27 Ngan Nguyen , Feng Liang , Dominik Engel , Ciril Bohak , Peter Wonka , Timo Ropinski , Ivan Viola

This paper describes a fast and accurate method for obtaining steerable principal components from a large dataset of images, assuming the images are well localized in space and frequency. The obtained steerable principal components are…

Computer Vision and Pattern Recognition · Computer Science 2018-08-10 Boris Landa , Yoel Shkolnisky

We investigate light transport in three-dimensional disordered media composed of irregular dielectric particles using large scale full-wave simulations. For subwavelength particles with size parameter $kr \approx 1$ and high refractive…

Optics · Physics 2026-04-29 Yevgen Grynko , Dustin Siebert , Jan Sperling , Jens Förstner

A novel method for fast information retrieval from a probe storage device is considered. It is shown that information can be stored and retrieved using the optical diffraction patterns obtained by the illumination of a large array of…

Information Theory · Computer Science 2015-05-27 Joost van Honschoten , Henri de Jong , Wabe W. Koelmans , Thomas P. Parnell , Oleg V. Zaboronski

We present a method of centroiding undersampled point spread functions (PSFs) that may be useful, especially when dithering is not an option. If the profile of the expected PSF is known fairly well through characterization of the telescope…

Instrumentation and Methods for Astrophysics · Physics 2025-03-05 Kevin J. Ludwick , Ashley Mazingo

Localization of light is the photon analog of electron localization in disordered lattices for whose discovery Anderson received the Nobel prize in 1977. The question about its existence in open three-dimensional materials has eluded an…

Optics · Physics 2020-06-05 Jakub Haberko , Luis S. Froufe-Pérez , Frank Scheffold

We present a framework to take advantage of existing labels at inference, called \textit{exemplars}, in order to improve the performance of object detection in medical images. The method, \textit{exemplar diffusion}, leverages existing…

Computer Vision and Pattern Recognition · Computer Science 2026-03-17 Victor Wåhlstrand , Jennifer Alvén , Ida Häggström

Fluorescence microscopy is essential to study biological structures and dynamics. However, existing systems suffer from a tradeoff between field-of-view (FOV), resolution, and complexity, and thus cannot fulfill the emerging need of…

Optics · Physics 2022-09-09 Yujia Xue , Qianwan Yang , Guorong Hu , Kehan Guo , Lei Tian